The accurate prediction of heart disease is essential to efficiently treating cardiac patients
before a heart attack occurs. This goal can be achieved using an optimal machine learning …

Coronary artery disease (CAD) is a leading cause of death worldwide and is associated with
high healthcare expenditure. Researchers are motivated to apply machine learning (ML) for …

Along with the significant growth of social media, individuals and companies are
increasingly receiving public opinions which direct their decisions. Opinion mining, which is …

In recent years, cardiovascular disease becomes a prominent source of death. The web
services connect other medical equipments and the computers via internet for exchanging …

Nowadays, the competitive environment of e-services companies has made them deliver
high quality of services. In fact, the perceived quality of e-services by consumers which …

Purpose Social media has given customers more power over sharing their knowledge,
opinions and experiences with each other. Tourists as customers of destinations are also …

Various problems are just rising with regard to mining in massive datasets, among which
finding similar documents can be pinpointed. The Shingling method converts this problem to …

This study presents a new hybrid intelligent system with ensemble learning for stock
selection using the fundamental information of companies. The system uses the selected …

In real-world problems, input data may be uncertain or imprecise. Naıve possibilistic
classifiers (NPC) based on possibility theory have been proposed for classification tasks in …

Résumé Les maladies cardiovasculaires regroupent un certain nombre de troubles affectant
le coeur et les vaisseaux sanguins, elles sont considérées comme l'une des principales …